Abstract
The aim of this study was to identify factors predicting large post-void residual (PVR) (defined as ≥200 mL), an important unsolved problem, after an intravesical injection of onabotulinumtoxinA in patients with overactive bladder syndrome. The data showed that 133 of 290 patients had a large PVR after treatment. Multivariate analysis found that the baseline 3-day daytime frequency episodes and voiding efficiency were independent predictors for postoperative large PVR. A receiver operating characteristic (ROC) curve analysis showed the following optimum cut-off values: (1) 3-day daytime frequency episodes = 25, which has a ROC area of 0.72; and (2) voiding efficiency = 89%, which has a ROC area being 0.66. The predicted logit transformation of probability of large PVR, logit(p), for a given 3-day daytime frequency episodes (a) and voiding efficiency (b%) can be denoted by logit(p) = −5.18 + 0.07 × a + 0.04 × b, with a cutoff value of logit(p) = 0.34 and a ROC area of 0.79. The median value of the persistent large PVR interval was 5 months. In conclusion, low 3-day daytime frequency episodes (<25) and low voiding efficiency (<89%) are associated with large PVR. Besides, logit(p) <0.34 can be used to predict large PVR for its higher ROC area.
Highlights
Retention in a multivariate logistic regression[14]
The following optimum cut-off values were determined using Receiver operating characteristic (ROC) analysis: (1) baseline 3-day daytime frequency episodes = 25, which has an area under the ROC curve of 0.72 (95% confidence interval [CI] = 0.60 to 0.84; sensitivity = 73.0%, specificity = 65.6%, Fig. 1A); and (2) baseline voiding efficiency = 89%, which has an area under the ROC curve of 0.66
By multivariate logistic regression analysis, baseline 3-day daytime frequency episodes and baseline voiding efficiency were determined to be the significant independent factors to predict the probability of the presence of large PVR with a constant of −5 .18 (95% confidence interval [CI] =−8.66 to −1.69, P = 0.004)
Summary
Retention in a multivariate logistic regression[14]. Age and diabetes were not associated with postoperative urine retention[14]. These conflicting results led us to identify the independent factors that can predict large PVR after intravesical onabotulinum toxin type A injection for patients with OAB. The secondary objective was to estimate the recovery time after the presence of postoperative large PVR and identify factors responsible for recovery
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
